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I applied via Naukri.com and was interviewed in Mar 2024. There were 5 interview rounds.
General Aptitude to test Python and ML skills
Coding round to solve a classification problem and a few general questions about my past projects.
I applied via campus placement at Great Lakes Institute of Management (GLIM) and was interviewed in Oct 2024. There were 2 interview rounds.
It had more sections to solve like aptitude and SQL
They gave a case study to solve and the entire interview was on the case study presentation and work experience related discussion.
Tiger Analytics interview questions for popular designations
1 hr with coding, java oops
The question is asking for a Java program that calculates the sum of two numbers.
Create two variables to store the numbers to be added.
Use the + operator to add the two numbers together.
Print or return the result of the addition.
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Python questions moderate to difficult
I am a data scientist with a background in statistics and machine learning.
I have a Master's degree in Data Science from XYZ University.
I have experience working with Python, R, and SQL for data analysis.
I have worked on projects involving predictive modeling and data visualization.
I am passionate about using data to drive business decisions and solve complex problems.
I applied via Recruitment Consulltant and was interviewed in Aug 2024. There was 1 interview round.
Basic Coding round and understanding of candidate's previous work experience. Questions on ML orchestrators.
Some questionaire was provided
MSE metric is commonly used in data analysis to measure the average squared difference between predicted values and actual values.
MSE helps to quantify the accuracy of a model by penalizing large errors more than small errors.
It is easy to interpret as it gives a clear measure of how well the model is performing.
MSE is differentiable, making it suitable for optimization algorithms like gradient descent.
Example: In line...
MSE metrics are commonly used to measure the average squared difference between predicted values and actual values in statistical analysis.
MSE helps in evaluating the performance of a predictive model by quantifying the accuracy of the model's predictions.
It penalizes large errors more heavily than small errors, making it a useful metric for identifying outliers or areas where the model is underperforming.
MSE is widely...
I applied via Naukri.com and was interviewed in May 2024. There were 4 interview rounds.
Screening round,2 programming and 5 MCQs
I applied via Job Portal and was interviewed in Jul 2024. There was 1 interview round.
Count the number of vowels in a given array of strings.
Iterate through each string in the array
For each string, iterate through each character and check if it is a vowel (a, e, i, o, u)
Increment a counter for each vowel found in the string
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